
Over a three-month period, contributed to the spm/spm repository by developing and refining MATLAB-based tools for neuroimaging workflows. Delivered enhancements to the DAiSS Wizard, improving data visualization and workflow reliability through robust file loading and flexible color mapping. Addressed a targeted EEG sensor visualization bug, ensuring accurate electrode display and supporting downstream signal processing analyses. Designed and implemented a configurable MATLAB function for rendering the SPM logo, leveraging 3D transformations and graphics generation to support consistent branding across technical materials. The work demonstrated a focus on maintainability and integration, with careful attention to visualization accuracy and compatibility with existing MATLAB scripts.
June 2025 monthly summary for spm/spm: Focused feature development around branding tooling, delivering a configurable MATLAB function to render the SPM logo with options for version, style, dimensions, colors, and isometric projection. This work supports consistent logo visuals across demos, reports, and product materials, reinforcing brand identity and verification workflows.
June 2025 monthly summary for spm/spm: Focused feature development around branding tooling, delivering a configurable MATLAB function to render the SPM logo with options for version, style, dimensions, colors, and isometric projection. This work supports consistent logo visuals across demos, reports, and product materials, reinforcing brand identity and verification workflows.
Month: 2024-12 — Focused on stabilizing EEG visualization in spm/spm by fixing the electrode visibility and improving sensor-source localization in EEG plots. Delivered a targeted bug fix with clear commit-level changes, enhancing visualization reliability for end users and downstream analyses.
Month: 2024-12 — Focused on stabilizing EEG visualization in spm/spm by fixing the electrode visibility and improving sensor-source localization in EEG plots. Delivered a targeted bug fix with clear commit-level changes, enhancing visualization reliability for end users and downstream analyses.
Monthly summary for 2024-11 focusing on DAiSS Wizard enhancements in spm/spm. Delivered visualization improvements, robust loading, updated experimental flag behavior, and optional data output, resulting in a more reliable workflow and faster analyst iteration.
Monthly summary for 2024-11 focusing on DAiSS Wizard enhancements in spm/spm. Delivered visualization improvements, robust loading, updated experimental flag behavior, and optional data output, resulting in a more reliable workflow and faster analyst iteration.

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